fix: ODFV able to handle boolean pandas type #3384
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Signed-off-by: Hai Nguyen <quanghai.ng1512@gmail.com>
sudohainguyen
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: adchia, sudohainguyen The full list of commands accepted by this bot can be found here. The pull request process is described here
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adchia
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Dec 15, 2022
## [0.27.1](v0.27.0...v0.27.1) (2022-12-15) ### Bug Fixes * Enable registry caching in SQL Registry ([#3395](#3395)) ([2e57376](2e57376)) * Fix bug where SQL registry was incorrectly writing infra config around online stores ([#3394](#3394)) ([6bcf77c](6bcf77c)) * Get all columns with describe table method from RedshiftData-api ([#3377](#3377)) ([fd97254](fd97254)) * ODFV able to handle boolean pandas type ([#3384](#3384)) ([8f242e6](8f242e6)) * Remove PySpark dependency from Snowflake Offline Store ([#3388](#3388)) ([7b160c7](7b160c7))
felixwang9817
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Jan 3, 2023
# [0.28.0](v0.27.0...v0.28.0) (2023-01-03) ### Bug Fixes * Apply billing project when infer schema ([#3417](#3417)) ([4f9ad7e](4f9ad7e)) * Assertion condition when value is 0 ([#3401](#3401)) ([98a24a3](98a24a3)) * Enable registry caching in SQL Registry ([#3395](#3395)) ([2e57376](2e57376)) * Fix bug where SQL registry was incorrectly writing infra config around online stores ([#3394](#3394)) ([6bcf77c](6bcf77c)) * Get all columns with describe table method from RedshiftData-api ([#3377](#3377)) ([fd97254](fd97254)) * ODFV able to handle boolean pandas type ([#3384](#3384)) ([8f242e6](8f242e6)) * Remove PySpark dependency from Snowflake Offline Store ([#3388](#3388)) ([7b160c7](7b160c7)) * Specifies timeout in exception polling ([#3398](#3398)) ([c0ca7e4](c0ca7e4)) * Update import logic to remove `pyspark` dependency from Snowflake Offline Store ([#3397](#3397)) ([cf073e6](cf073e6)) ### Features * Add template for Github Codespaces ([#3421](#3421)) ([41c0537](41c0537)) * Adds description attribute for features/fields ([#3425](#3425)) ([26f4881](26f4881)) * Snowflake skip materialization if no table change ([#3404](#3404)) ([0ab3942](0ab3942))
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Signed-off-by: Hai Nguyen quanghai.ng1512@gmail.com
What this PR does / why we need it: This PR helps ODFV able to handle
booleannative dtype from Pandas DataframeWhich issue(s) this PR fixes: #3382
Fixes #3382